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Dergiler / Journal of International Environmental Application and Science / 2023 / Cilt: 18 Sayı: 3

Compressive Strength Prediction Using Linear Regression Method

Michael Toryila TİZA
Samson IMONİ
Mogbo ONYEBUCHİ
Ebenezer Ogırıma AKANDE
Victoria Hassana JİYA
Collins ONUZULİKE
Sayfa
100–106
Yayın Tarihi
2023-09-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The developed mathematical model can serve as a valuable tool for engineers and researchers in the construction industry, aiding in the estimation of compressive strength for various cement kiln replacement scenarios.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study investigates the compressive strength of cement kiln replacement mixtures using a mechanistic modeling approach.
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Temel Bulgular & Veri:The objective is to establish a mathematical model that predicts the compressive strength based on the percentage of cement kiln replacement.
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Sonuç & Katkı:The developed mathematical model can serve as a valuable tool for engineers and researchers in the construction industry, aiding in the estimation of compressive strength for various cement kiln replacement scenarios.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Cement kiln Replacement · Compressive Strength · Mechanistic Modeling

Abstract

This study investigates the compressive strength of cement kiln replacement mixtures using a mechanistic modeling approach. The objective is to establish a mathematical model that predicts the compressive strength based on the percentage of cement kiln replacement. The study analyzed data from various replacement percentages ranging from 10% to 35% and their corresponding compressive strength values. A linear regression model was developed to capture the relationship between the replacement percentage and compressive strength. The model exhibited a good fit to the data, with a mean squared error of approximately 0.0254. Confidence intervals were calculated to provide a range of predicted compressive strength values at different replacement percentages. The findings of this study contribute to understanding the mechanical behavior of cement kiln replacement mixtures and offer insights for optimizing mixture designs. The developed mathematical model can serve as a valuable tool for engineers and researchers in the construction industry, aiding in the estimation of compressive strength for various cement kiln replacement scenarios.

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Bu Makaleye Atıf Yap

TİZA, M. T., IMONİ, S., ONYEBUCHİ, M., AKANDE, E. O., JİYA, V. H., ONUZULİKE, C. (2023). Compressive Strength Prediction Using Linear Regression Method. Journal of International Environmental Application and Science, Cilt: 18 Sayı: 3, 100–106. https://ajindex.com/articles/966412

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Kaynakça (10)

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